Suchergebnisse - Application of non-linear programming to feasibility problems

A strongly polynomial-time algorithm for the strict homogeneous linear-inequality feasibility problem von Oliveira, Paulo Roberto

“… A strongly polynomial-time algorithm is proposed for the strict homogeneous linear-inequality feasibility problem in the positive orthant, that is, to obtain x …”
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A non-linear generalization of optimization problems subjected to continuous max-t-norm fuzzy relational inequalities von Ghodousian, Amin, Rad, Babak Sepehri, Ghodousian, Oveys

“… Recently, the latticized linear programming problems subjected to max–min and max-product fuzzy relational inequalities (FRI …”
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A comparison of alternative models for solving a non-linear single plant Hydro Unit Commitment problem von Heintzmann, Alexandre, Artigues, Christian, Bendotti, Pascale, Ngueveu, Sandra Ulrich, Rottner, Cécile

“… Each non-linear component of such problems can be modeled either linearly or non-linearly, considering or not additional integer variables …”
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Robust optimization for non-linear impact of data variation von Alfandari, Laurent, Espinoza García, Juan-Carlos

“… •We study generic Linear Programs where coefficients are non linear functions of uncertain data …”
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Gaussian process model predictive control of unknown non-linear systems von Cao, Gang, Lai, Edmund M.-K, Alam, Fakhrul

“… ) problem is relaxed to a deterministic non-linear MPC based on a basic linearised GP local model …”
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Matheuristics approaches for the satellite constellation design problem von Mencarelli, Luca, Floquet, Julien, Georges, Frédéric

“… A Feasibility Pump approach is described: we specifically adapt the Feasibility Pump procedure to our design problem and we report results highlighting the benefits of this approach compared to the base Mixed Integer Nonlinear Programming (MINLP …”
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Mixed integer (non)linear approaches for the satellite constellation design problem von Mencarelli, Luca, Floquet, Julien, Georges, Frédéric, Grenier, Dominique

“… The first one is a feasibility problem based on the direct mathematical definition of pixel observability …”
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Asymptotic tracking and dynamic regulation of SISO non-linear system based on discrete multi-dimensional Taylor network von Yan, Hong-Sen, Kang, An-Ming

“… For non-linear control, it is important to secure a generally structured controller that promises wide application and desirable performance …”
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Topology optimization for unsteady flow von Kreissl, Sebastian, Pingen, Georg, Maute, Kurt

“… The resulting parameter optimization problem is solved by a non‐linear programming method. The paper studies the feasibility of the material interpolation approach for optimizing the topology of unsteady flow problems …”
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Generalized Relax-and-Fix heuristic von Joncour, C., Kritter, J., Michel, S., Schepler, X.

“… : a sequence of derived subproblems is solved, progressively fixing variables in the original problem …”
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Fault estimation for continuous-time non-linear switched systems with time-varying delay based on intermediate estimator von Wang, Yuenan, Zhu, Yanzheng, Ji, Wenchengyu, Jiang, Yulian, Wang, Shenquan

“… In this work, the fault estimation (FE) problem is studied for continuous-time non-linear switched systems with time-varying delay over fading channel under average dwell time switching …”
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Observer-based non-linear H∞ attitude control for a flexible satellite von Bai, Huihui, Zhou, Yanru, Sun, Hongfei, Zeng, Jianping

“… This study focuses on the observer-based non-linear H∞ (OBNH) attitude control for a flexible satellite with external disturbances and local state-region constraints …”
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Penalized semidefinite programming for quadratically-constrained quadratic optimization von Madani, Ramtin, Kheirandishfard, Mohsen, Lavaei, Javad, Atamtürk, Alper

“… In this paper, we give a new penalized semidefinite programming approach for non-convex quadratically-constrained quadratic programs (QCQPs …”
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A proximal-point outer approximation algorithm von De Mauri, Massimo, Gillis, Joris, Swevers, Jan, Pipeleers, Goele

“… , require the solution of mixed-integer non-linear problems (MINLPs). Problems of such class combine the high computational burden arising from considering discrete variables with the complexity of non-linear functions …”
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Integrating traffic routing optimization and train formation plan using simulated annealing algorithm von Lin, Boliang, Zhao, Yinan, Lin, Ruixi, Liu, Chang

“… This study proposes a non-linear binary programming model to address the integrated …”
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Signed distance-based closeness coefficients approach for solving inverse non-linear programming models for multiple criteria group decision-making using interval Type-2 pythagorean fuzzy numbers von Touqeer, Muhammad, Umer, Rimsha, Ahmadian, Ali, Salahshour, Soheil, Salimi, Mehdi

“… Pythagorean fuzzy sets (PFS) are extensively used to deal with ambiguity, vagueness and imprecision in real-world applications …”
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Reliability–redundancy allocation problem in multi-state flow network: Minimal cut-based approximation scheme von Zhang, Hanxiao, Sun, Muxia, Li, Yan-Fu

“… The MFN RRAP is a mixed-integer non-linear programming problem, which is NP-hard. We propose a minimal cut-based approximation scheme to transform it into an …”
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Concurrent processing of mixed-integer non-linear programming problems von Oestermark, Ralf

“… Purpose - To discuss a new parallel algorithmic platform (minlp_machine) for complex mixed-integer non-linear programming (MINLP …”
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Optimization with Neural Network Feasibility Surrogates: Formulations and Application to Security-Constrained Optimal Power Flow von Kilwein, Zachary, Jalving, Jordan, Eydenberg, Michael, Blakely, Logan, Skolfield, Kyle, Laird, Carl, Boukouvala, Fani

“… Satisfying feasibility constraints becomes more challenging in high-dimensional, non-convex regimes which are common in engineering applications …”
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Market-based transmission expansion planning by improved differential evolution von Georgilakis, Pavlos S.

“… ) model is proposed for the solution of this new market-based TEP problem. The modifications of IDE in comparison to the simple differential evolution method are: (1 …”
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